| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Bernhard, Christian
Universidad de Cantabria
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (53/53 displayed)
- 2024In situ study and assessment of the phosphorus-induced solute drag effect on the grain boundary mobility of austenitecitations
- 2024Experimental investigation and computational thermodynamics of the quaternary system Fe-C-Mn-S
- 2024On the Role of Tramp Elements for Surface Defect Formation in Continuous Casting of Steelcitations
- 2024The simple microsegregation model for steel considering MnS formation in the liquid and solid phasescitations
- 2024Influence of Silicon and Tramp Elements on the High-temperature Oxidation of Steel in Direct Casting and Rolling Processes
- 2024Critical Examination of the Representativeness of Austenite Grain Growth Studies Performed In Situ Using HT-LSCM and Application to Determine Growth-inhibiting Mechanismscitations
- 2023The influence of intergranular oxidation on surface crack formation in continuous casting of steelcitations
- 2023Grain boundary mobility of γ-Fe in high-purity iron during isothermal annealingcitations
- 2023Precipitation behavior of hexagonal carbides in a C containing intermetallic γ-TiAl based alloycitations
- 2023Classification of peritectic steels by experimental methods, computational thermodynamics and plant data: An Overview
- 2023Hot tear prediction in large sized high alloyed turbine steel parts - experimental based calibration of mechanical data and model validation
- 2023Decomposition of γ-Fe in 0.4C-1.8Si-2.8Mn-0.5Al steel during a continuous cooling process: A comparative study using in-situ HT-LSCM, DSC and dilatometrycitations
- 2023Impurities and tramp elements in steel: Thermodynamic aspects and the application to solidification processes
- 2023High-temperature oxidation of steel recycled from scrap: The role of tramp elements and their influence on oxidation behavior
- 2023Einfluss der Düsenparameter auf die Kühlbedingungen in der Sekundärkühlzone einer Brammengießanlagecitations
- 2022High temperature thermodynamics of the Fe-C-Mn system; new experimental data for the Fe-C-10 and 20 wt.-% Mn system
- 2022A Near-Process 2D Heat-Transfer Model for Continuous Slab Casting of Steelcitations
- 2022Primary Carbide Formation in Tool Steelscitations
- 2022Selected metallurgical models for computationally efficient prediction of quality-related issues in continuous slab casting of steel
- 2022Experimental thermodynamics for improving CALPHAD optimizations at the Chair of Ferrous Metallurgy
- 2021Characterization of the gamma-loop in the Fe-P system by coupling DSC and HT-LSCM with complementary in-situ experimental techniquescitations
- 2021Simulation of the Refining Process of Ultra-Low Carbon (ULC) Steelcitations
- 2021Potential and limitations of direct austenite grain growth measurement by means of HT-LSCMcitations
- 2021Investigations on hot tearing in a continuous slab caster: Numerical modelling combined with analysis of plant results
- 2021Influence of Slag Viscosity and Composition on the Inclusion Content in Steelcitations
- 2020Electron-phonon-driven three-dimensional metallicity in an insulating cupratecitations
- 2020Electron-phonon-driven three-dimensional metallicity in an insulating cupratecitations
- 2020Electron-phonon-driven three-dimensional metallicity in an insulating cupratecitations
- 2020Utilization of Experimental Data as Boundary Conditions for the Solidification Model Tempsimu-3Dcitations
- 2020Study on the Possible Error Due to Matrix Interaction in Automated SEM/EDS Analysis of Nonmetallic Inclusions in Steel by Thermodynamics, Kinetics and Electrolytic Extractioncitations
- 2020Experimental Study of High Temperature Phase Equilibria in the Iron-Rich Part of the Fe-P and Fe-C-P Systemscitations
- 2020HT-LSCM as a Tool for Indirect Determination of Precipitates by Real-Time Grain Growth Observationscitations
- 2020Study on inclusion evolution through Si/Mn deoxidation in medium-carbon steelscitations
- 2020Experimental Quantification of Critical Parameters for Prediction of Surface Crack Formation in Continuous Castingcitations
- 2020Investigation of Fe–C–Cr and Fe–C–Cr–Ni-based systems with the use of DTA and HT-LSCM methodscitations
- 2019Investigation of water droplet impingement under conditions of the secondary cooling zone of a continuous caster
- 2019Study on the Influence of FeTi‐Addition on the Inclusion Population in Ti‐Stabilized ULC Steels and Its Consequences for SEN‐Cloggingcitations
- 2019High precious phase diagrams – a roadmap for a successful casting processing
- 2019The Role of FeTi Addition to Micro-inclusions in the Production of ULC Steel Grades via the RH Process Routecitations
- 2019In-situ Untersuchung von Austenitkornwachstumsprozessen in Stählen mittels Hochtemperatur Laser-Scanning-Konfokal-Mikroskopcitations
- 2019Evaluation of AHSS concepts with a focus on the product properties and appropriate casting characteristics of Arvedi ESP thin slab casterscitations
- 2018Energy efficiency in secondary cooling - New generation of air-mist nozzles with reduced air consumption and high cooling efficiency
- 2017Charakterisierung von azikularferritischen Phasenanteilen in HSLA- Stählen und deren Auswirkung auf die mechanischen Kennwerte bei Kleinstproben
- 2017The potential for grain refinement of a super austenitic stainless steel with a cerium grain refiner
- 2017Modeling Inclusion Formation during Solidification of Steelcitations
- 2017Influence of Silicon and Manganese on the Peritectic Range for Steel Alloys
- 2017Further development and validation of IDS by means of selected experiments
- 2016HT-LSCM - A valuable tool for surface microstructure investigations
- 2016Study on Oxide Inclusion Dissolution in Secondary Steelmaking Slags using High Temperature Confocal Scanning Laser Microscopycitations
- 2016On the modelling of microsegregation in steels involving thermodynamic databases
- 2013Importance of Spin-Orbit Interaction for the Electron Spin Relaxation in Organic Semiconductorscitations
- 2012Effect of titanium on the solidification and post-solidification microstructure of high-strength steel welds
- 2012Thermo-mechanical properties of an Fe–Mn–Si–Cr–Ni–VC shape memory alloy with low transformation temperaturecitations
Places of action
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article
Potential and limitations of direct austenite grain growth measurement by means of HT-LSCM
Abstract
High-temperature laser scanning confocal microscopy (HT-LSCM) employs the possibility of direct austenite grain growth observations. To ensure the results obtained are interpreted correctly, several influencing factors on the investigation outcome have to be taken into account. The present paper gives an overview of the basic experimental setup for in-situ grain growth observations and critically assesses the requirements concerning grain size measurement, materials and operational details. The extensive studies presented in this work indicate that the grain growth as seen on the sample surface is representative for the bulk material and allows the determination of an average grain size value and a full grain size distribution for every desired time step. The investigated material significantly influences the experimental outcome, which is why origin and thermal history of the sample always have to be taken into account for an interpretation of the results. Concerning the details of operation, a careful temperature referencing was proven to be a prerequisite to meet the desired temperatures within the sample. Temperature differences between set temperature and sample surface were shown to be ±30 °C following a non-linear behavior in relation to the absolute temperature. Oxidation of the sample surface can be prevented by Ar purging; however, evaporation of Mn was demonstrated to occur under standard experimental conditions. While the Mn loss did not impact the grain growth observations in this study, it is an important finding that should attract interest when using the HT-LSCM for the evaluation of other microstructural changes. Finally, some selected in-situ grain growth results are presented that demonstrate the unique potential of the HT-LSCM in determining the effect of specific alloying elements (Mo, Mn and Ni) on the grain growth kinetics as well as the impact of AlN precipitates. The achieved results feature a strong basis for grain growth modelling and the critical validation of simulation results, emphasizing the HT-LSCM as an efficient and reliable tool for various applications within steel research.